Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cass County, MN

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cass County, MN
Series ID MHICIUBMN27021A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:32 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 20375
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24662
1994-01-01 .
1995-01-01 29192
1996-01-01 .
1997-01-01 30794
1998-01-01 32316
1999-01-01 35527
2000-01-01 38159
2001-01-01 37148
2002-01-01 38729
2003-01-01 40385
2004-01-01 41489
2005-01-01 42886
2006-01-01 43001
2007-01-01 40943
2008-01-01 44602
2009-01-01 44479
2010-01-01 43031
2011-01-01 44656
2012-01-01 45408
2013-01-01 50512
2014-01-01 47379
2015-01-01 50048
2016-01-01 51991
2017-01-01 54661
2018-01-01 51625
2019-01-01 57254
2020-01-01 57225
2021-01-01 61365
2022-01-01 70418
2023-01-01 64886

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